Towards an EEG-based intelligent wheelchair driving system with vibro-tactile stimuli

Keun Tae Kim, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Nowadays, the electroencephalography (EEG)-based wheelchair driving system, one of the major applications of brain-computer interface (BCI), that allows an individual with mobility impairments to perform daily living activities independently. In this context, user's intention identifying methods were developed by several research groups using various paradigms for the wheelchair driving. In this study, we use a steady-state somatosensory evoked potential (SSSEP) paradigm, which elicits brain responses to vibro-tactile stimulation of specific frequencies, for a user's intention identification to driving a wheelchair. The main focus of this study is to validate an effectiveness of our SSSEP-based wheelchair driving system via an online experiment with more challenging tasks than our recent study. In our system, a subject concentrated on one of vibro-tactile stimuli (attached on left-hand, right-hand, and foot) selectively for driving wheelchair (corresponding to turn-left, turn-right, and move-forward). Five healthy subjects participated in the online experiment, and the experimental results show that our SSSEP paradigm is suitable to EEG-based intelligent wheelchair driving system.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2382-2385
Number of pages4
ISBN (Electronic)9781509018970
DOIs
Publication statusPublished - 2017 Feb 6
Event2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Budapest, Hungary
Duration: 2016 Oct 92016 Oct 12

Other

Other2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016
CountryHungary
CityBudapest
Period16/10/916/10/12

Fingerprint

Electroencephalography
Wheelchairs
Paradigm
Bioelectric potentials
Experiment
Brain computer interface
Brain
Experimental Results
Experiments

Keywords

  • Brain-computer interface (BCI)
  • Brain-controlled wheelchair
  • Electroencephalography (EEG)
  • Vibro-tactile stimuli

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Control and Optimization
  • Human-Computer Interaction

Cite this

Kim, K. T., & Lee, S. W. (2017). Towards an EEG-based intelligent wheelchair driving system with vibro-tactile stimuli. In 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings (pp. 2382-2385). [7844595] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2016.7844595

Towards an EEG-based intelligent wheelchair driving system with vibro-tactile stimuli. / Kim, Keun Tae; Lee, Seong Whan.

2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 2382-2385 7844595.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kim, KT & Lee, SW 2017, Towards an EEG-based intelligent wheelchair driving system with vibro-tactile stimuli. in 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings., 7844595, Institute of Electrical and Electronics Engineers Inc., pp. 2382-2385, 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016, Budapest, Hungary, 16/10/9. https://doi.org/10.1109/SMC.2016.7844595
Kim KT, Lee SW. Towards an EEG-based intelligent wheelchair driving system with vibro-tactile stimuli. In 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 2382-2385. 7844595 https://doi.org/10.1109/SMC.2016.7844595
Kim, Keun Tae ; Lee, Seong Whan. / Towards an EEG-based intelligent wheelchair driving system with vibro-tactile stimuli. 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 2382-2385
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